Correlation Between Applied Finance and Ab Discovery
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Ab Discovery at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Applied Finance and Ab Discovery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Finance Explorer and Ab Discovery Value, you can compare the effects of market volatilities on Applied Finance and Ab Discovery and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Applied Finance with a short position of Ab Discovery. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Ab Discovery.
Diversification Opportunities for Applied Finance and Ab Discovery
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Applied and ABYSX is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and Ab Discovery Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab Discovery Value and Applied Finance is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Applied Finance Explorer are associated (or correlated) with Ab Discovery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab Discovery Value has no effect on the direction of Applied Finance i.e., Applied Finance and Ab Discovery go up and down completely randomly.
Pair Corralation between Applied Finance and Ab Discovery
Assuming the 90 days horizon Applied Finance Explorer is expected to generate 1.12 times more return on investment than Ab Discovery. However, Applied Finance is 1.12 times more volatile than Ab Discovery Value. It trades about 0.25 of its potential returns per unit of risk. Ab Discovery Value is currently generating about 0.25 per unit of risk. If you would invest 2,019 in Applied Finance Explorer on February 13, 2024 and sell it today you would earn a total of 96.00 from holding Applied Finance Explorer or generate 4.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Finance Explorer vs. Ab Discovery Value
Performance |
Timeline |
Applied Finance Explorer |
Ab Discovery Value |
Applied Finance and Ab Discovery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Ab Discovery
The main advantage of trading using opposite Applied Finance and Ab Discovery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Ab Discovery can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ab Discovery will offset losses from the drop in Ab Discovery's long position.Applied Finance vs. Vanguard Small Cap Value | Applied Finance vs. Us Small Cap | Applied Finance vs. Us Targeted Value | Applied Finance vs. Undiscovered Managers Behavioral |
Ab Discovery vs. Vanguard Small Cap Value | Ab Discovery vs. Us Small Cap | Ab Discovery vs. Us Targeted Value | Ab Discovery vs. Undiscovered Managers Behavioral |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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